LexTrim: A Lexical Cohesion Based Approach to Parse-and-Trim Style Headline Generation [chapter]

Ruichao Wang, Nicola Stokes, William Doran, Eamonn Newman, John Dunnion, Joe Carthy
2005 Lecture Notes in Computer Science  
In this paper we compare two parse-and-trim style headline generation systems. The Topiary system uses a statistical learning approach to finding topic labels for headlines, while our approach, the LexTrim system, identifies key summary words by analysing the lexical cohesion structure of a text. The performance of these systems is evaluated using the ROUGE evaluation suite on the DUC 2004 news stories collection.
doi:10.1007/978-3-540-30586-6_71 fatcat:cguxhtknjfhtdftuz232m7jto4